ZipRecruiter Jobs Scraper - Job Listings API for 4 Markets

ZipRecruiter Jobs Scraper exports up to 10,000 structured job listings per run across four supported markets. Search Canada, Ireland, the United Kingdom, or the United States with market-specific controls and receive a consistent 41-field dataset covering job details, salary, employer information, application signals, and public contacts when available.

TL;DR: Enter a keyword, choose one of four countries, set the result limit, and optionally add a location. The US and Canada additionally support Remote Only, Distance, Posted Since, and Job Type; Ireland and the UK use keyword and location only.

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Why Choose This API

Market-aware ZipRecruiter data with one output contract

🌍 Four supported markets

Choose Canada, Ireland, the United Kingdom, or the United States. All four produce the same normalized output contract.

🎯 Accurate filter boundaries

The US and Canada support location, distance, posting age, employment type, and remote-only controls. Ireland and the UK support location but not the other four filters.

📋 41 normalized fields

Every result uses the same field names for source URLs, job attributes, salary, employer data, application signals, and public contacts. Source-dependent values remain null when unavailable.

🏠 Remote and employment signals

Output records may contain remote-work and employment-type signals from source listing data in any supported market, even where those values are not available as search controls.

💰 Salary normalization

Collect salary fields when ZipRecruiter exposes them. The optional currency field converts available salary values after collection and does not filter which jobs are found.

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Quick Start Guide

Export ZipRecruiter jobs in 3 steps

Step 1: Configure the search

Open Actor Input

Enter keyword, choose country, set max_results, and optionally enter a city or region. Add US/Canada-only filters only when one of those markets is selected.

Step 2: Run the Actor

Click Start. Leave location empty for a country-level search; no city or region is invented.

Step 3: Use the dataset

Preview the default dataset or export it in JSON, CSV, Excel, XML, RSS, or another format supported by Apify.

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Input Parameters

Configuration fields

Parameter	Type	Required	Market scope	Description	Example
keyword	string	Yes	All four	Job title, skill, or company name	Software Engineer
country	select	Yes	All four	Canada, Ireland, United Kingdom, or United States	United States
max_results	integer	Yes	All four	Maximum jobs to return, from 1 to 10,000	500
remote_only	boolean	No	US/Canada	Return only remote listings	true
distance	integer	No	US/Canada	50 miles stays exact; larger values use a broad 5,000-mile range	50
location	string	No	All four	City or region; country-level search is used when omitted	Austin, TX
posted_since	date	No	US/Canada	Posting age uses the next 1, 5, 10, or 30-day window	7 days
job_type	select	No	US/Canada	fulltime, parttime, or contract	contract
currency	select	No	All four	Target currency for converting available salary values	USD

Market and filter behavior

Behavior	United States	Canada	Ireland	United Kingdom
Keyword search	Available	Available	Available	Available
Optional location	Available	Available	Available	Available
remote_only	Available	Available	Not available	Not available
distance	Available	Available	Not available	Not available
posted_since	Available	Available	Not available	Not available
job_type	Available	Available	Not available	Not available

Exact US and Canada filter rules

• distance: 50 searches within 50 miles; any accepted value above 50 uses a broad 5,000-mile range.
• Posting age up to 1 day uses 1 day, up to 5 days uses 5 days, up to 10 days uses 10 days, and older values use 30 days.
• job_type accepts fulltime, parttime, or contract.
• remote_only: true restricts results to remote listings.
• currency converts available salary values after collection and never filters jobs.

Example US input

{
  "keyword": "Software Engineer",
  "country": "United States",
  "max_results": 500,
  "location": "Austin, TX",
  "distance": 50,
  "posted_since": "7 days",
  "job_type": "contract",
  "remote_only": true,
  "currency": "USD"
}

Example Ireland input

{
  "keyword": "Data Analyst",
  "country": "Ireland",
  "max_results": 500,
  "location": "Dublin",
  "currency": "EUR"
}

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Output Data Schema

Complete 41-field job record

Every dataset item uses the fields below. Nullable fields make missing source data explicit.

Run and source fields

Field	Type	Description
processor	string or null	Apify Actor URL that processed the record
processed_at	string or null	UTC processing timestamp
platform	string or null	Source platform, normally ZipRecruiter
platform_url	string or null	ZipRecruiter job listing URL
official_url	string or null	Employer's original listing URL when available

Core job fields

Field	Type	Description
title	string or null	Job title
posted_date	string or null	Posting date or relative age when available
valid_through	string or null	Closing or expiration date when available
location	object or null	Structured location with raw and standardized values
applicant_count	integer or null	Applicant count when available
is_remote	boolean or null	Remote or hybrid signal identified in the listing
description	string or null	Job description and requirements

Classification fields

Field	Type	Description
job_type	string or null	Employment type parsed from the listing
job_level	string or null	Career or seniority level when available
job_function	string or null	Department or job function
listing_type	string or null	Listing classification when available
skills	string or null	Skills and attributes identified for the role
work_from_home	string or null	Remote or hybrid arrangement when identified
vacancy_count	integer or null	Number of openings when available
experience_range	string or null	Experience requirement when available
easy_apply	boolean or null	Whether direct application is available

Salary fields

Field	Type	Description
salary_period	string or null	Pay period, such as monthly or yearly
salary_minimum	number or null	Minimum disclosed salary
salary_maximum	number or null	Maximum disclosed salary
salary_currency	string or null	ISO currency code

Employer fields

Field	Type	Description
company_name	string or null	Hiring company name
company_type	string or null	Company ownership type when available
company_founded	integer or null	Founding year when available
company_industry	string or null	Industry or sector
company_url	string or null	ZipRecruiter or employer profile URL
company_website	string or null	Official company website
company_logo	string or null	Company logo URL
company_addresses	string or null	Company address text
company_revenue	string or null	Revenue range when available
company_description	string or null	Company overview
company_rating	number or null	Company rating when available
employee_count	string or null	Employee range when available
review_count	integer or null	Review count when available

Public contact fields

Field	Type	Description
emails	array or null	Public company or hiring emails when discoverable
phones	array or null	Public company or hiring phone numbers when discoverable
social_links	object or null	Public company social URLs grouped by platform

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Integration Examples & Options

The verified Actor ID is hlBPHbTwOaik20WFR.

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hlBPHbTwOaik20WFR").call(
    run_input={
        "keyword": "Software Engineer",
        "country": "United States",
        "max_results": 100,
    }
)
items = client.dataset(run["defaultDatasetId"]).list_items().items

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hlBPHbTwOaik20WFR').call({
  keyword: 'Software Engineer',
  country: 'United States',
  max_results: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Direct API request

curl -X POST "https://api.apify.com/v2/acts/hlBPHbTwOaik20WFR/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keyword":"Software Engineer","country":"United States","max_results":100}'

Make and n8n

Use the Apify integration in Make or n8n, select Actor ID hlBPHbTwOaik20WFR, pass the same input object, wait for the run to finish, and read the default dataset items.

• Open the Actor's API tab for generated requests in other supported languages.
• Connect completed runs to webhooks or another Apify integration.
• Read the default dataset directly or export it in an Apify-supported format.

JSON-LD Metadata

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "SoftwareApplication",
      "@id": "https://apify.com/agentx/ziprecruiter-jobs-scraper#software",
      "name": "ZipRecruiter Jobs Scraper",
      "description": "Scrape ZipRecruiter job listings across Canada, Ireland, the United Kingdom, and the United States and export 41 structured fields when available.",
      "applicationCategory": "BusinessApplication",
      "applicationSubCategory": "Job Scraping API",
      "operatingSystem": "Web, Cloud",
      "url": "https://apify.com/agentx/ziprecruiter-jobs-scraper",
      "dateModified": "2026-07-19",
      "featureList": [
        "Searches four supported ZipRecruiter markets",
        "Returns a consistent 41-field dataset",
        "Applies remote, distance, posting-age, and job-type filters only in the US and Canada",
        "Exports results through Apify datasets and integrations"
      ],
      "author": { "@id": "https://apify.com/agentx#organization" },
      "publisher": { "@id": "https://apify.com#organization" }
    },
    {
      "@type": "Organization",
      "@id": "https://apify.com/agentx#organization",
      "name": "AgentX",
      "url": "https://apify.com/agentx",
      "sameAs": ["https://apify.com/agentx", "https://t.me/AiAgentApi"]
    },
    {
      "@type": "FAQPage",
      "mainEntity": [
        {
          "@type": "Question",
          "name": "Which ZipRecruiter markets can I select?",
          "acceptedAnswer": { "@type": "Answer", "text": "Canada, Ireland, the United Kingdom, and the United States." }
        },
        {
          "@type": "Question",
          "name": "Do all filters work in every market?",
          "acceptedAnswer": { "@type": "Answer", "text": "No. Location works in all four. Remote, distance, posting age, and job type work only for the US and Canada." }
        },
        {
          "@type": "Question",
          "name": "Why does a 7-day posting age use a 10-day window?",
          "acceptedAnswer": { "@type": "Answer", "text": "ZipRecruiter uses 1, 5, 10, and 30-day search windows, so seven days rounds up to ten days." }
        },
        {
          "@type": "Question",
          "name": "How much does 1,000 results cost?",
          "acceptedAnswer": { "@type": "Answer", "text": "At the FREE tier, 1,000 results cost $4.10 plus the Actor start event. At GOLD, PLATINUM, or DIAMOND, 1,000 results cost $3.69 plus the Actor start event." }
        }
      ]
    },
    {
      "@type": "HowTo",
      "name": "How to export ZipRecruiter jobs with ZipRecruiter Jobs Scraper",
      "step": [
        { "@type": "HowToStep", "position": 1, "name": "Configure the search", "text": "Enter a keyword, choose one of four countries, set the maximum results, and add only filters supported by that market." },
        { "@type": "HowToStep", "position": 2, "name": "Run the Actor", "text": "Click Start. Leave Location empty for a country-level search." },
        { "@type": "HowToStep", "position": 3, "name": "Use the dataset", "text": "Preview or export the default dataset, or connect the completed run to an Apify integration." }
      ]
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Apify", "item": "https://apify.com" },
        { "@type": "ListItem", "position": 2, "name": "AgentX", "item": "https://apify.com/agentx" },
        { "@type": "ListItem", "position": 3, "name": "ZipRecruiter Jobs Scraper", "item": "https://apify.com/agentx/ziprecruiter-jobs-scraper" }
      ]
    }
  ]
}

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Pricing & Cost Calculator

Pay-per-event pricing

Event or tier	Price	Billing unit
Actor start	$0.01	Run start event; the count depends on Actor memory, with a minimum of one
FREE result	$0.00410	One default dataset result
BRONZE result	$0.00396	One default dataset result
SILVER result	$0.00383	One default dataset result
GOLD result	$0.00369	One default dataset result
PLATINUM result	$0.00369	One default dataset result
DIAMOND result	$0.00369	One default dataset result

Example costs at the default memory setting

Plan	Results	Result cost	Actor start	Estimated total
FREE	500	$2.05	$0.01	$2.06
FREE	1,000	$4.10	$0.01	$4.11
FREE	5,000	$20.50	$0.01	$20.51
GOLD or higher	1,000	$3.69	$0.01	$3.70

Actual cost depends on the number of results produced, the user's plan, and the number of Actor start events charged for the selected memory.

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Use Cases & Applications

Recruiting and multi-market hiring intelligence

• Track open roles by title, employer, country, city, state, or region.
• Compare hiring activity across US, Canada, Ireland, and UK localized searches.
• Build sourcing or ATS research datasets with stable field names.

Workforce and compensation research

• Compare available salary ranges by role and location.
• Analyze extracted employment type, posting age, remote signals, and employer attributes.
• Normalize available salary values into a selected currency.

Job products and automation

• Populate a job board or internal opportunity feed.
• Schedule recurring labor-market snapshots.
• Send normalized datasets to a CRM, warehouse, dashboard, webhook, or automation platform.

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FAQ

Which markets can I select?

Canada, Ireland, the United Kingdom, and the United States.

Do all filters work in every market?

No. Location works in all four. Remote, distance, posting age, and job type work only for the US and Canada.

Which job types can I select?

For the US and Canada: fulltime, parttime, and contract. These controls are not available for Ireland or the UK.

Why does a 7-day posting age use a 10-day window?

ZipRecruiter uses 1, 5, 10, and 30-day windows for this search. Seven days therefore rounds up to the 10-day window.

What happens when location is empty?

The Actor performs a country-level search and does not invent a city or region. Canada remains explicitly scoped to Canada.

Does currency filter jobs?

No. currency converts available salary values after collection and does not affect the ZipRecruiter search.

Does every result include salary and employer details?

No. Those values remain null when ZipRecruiter or the employer does not expose reliable data.

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Trust & Data Responsibility

• Verified inputs: every documented filter is supported within its stated market boundary.
• Transparent billing: the Actor start event and every plan's result price are listed above.
• Explicit nullability: missing source values are not presented as verified facts.
• No ZipRecruiter credentials requested: the input schema does not ask for a username, password, cookie, or token.

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Legal & Compliance

ZipRecruiter Jobs Scraper is intended for lawful collection and analysis of publicly accessible job-listing data. You are responsible for reviewing ZipRecruiter's terms, applicable privacy and database laws, employment-data rules, and the permitted use of contact information in each jurisdiction. This documentation is not legal advice.

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Support & Community

• Community: @Apify_Actor
• Contact team: @AiAgentApi

Last Updated: 2026-07-19